VisiQ: Supporting visual and interactive query refinement

  • Authors:

  • Orland Hoeber;Xue Dong Yang;Yiyu Yao

  • Affiliations:

  • (Correspd. E-mail: hoeber@cs.uregina.ca) Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2;Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2;Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2

  • Venue:
  • Web Intelligence and Agent Systems
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

It has been well documented that Web searchers have difficulties crafting queries to fulfill their information needs. The VisiQ system uses a concept knowledge base produced using the ACM Computing Classification System to generate a query space that represents the query terms in relation to the concepts they describe and the terms that are related to these concepts. A visual representation of this query space allows the users to interpret the relationships between their query terms and the query space. Interactive query refinement within this visual representation takes advantage of users' visual information processing abilities, allowing them to choose terms that accurately represent their information needs. A preview of the search results from Google provides the users with an indication of the current state of their query refinement process. VisiQ allows the users to take an active role in the information retrieval process, supporting the fundamental shift from information retrieval systems to information retrieval support systems.